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Innovative Data Augmentation Using Lightweight Diffusion Transformer for Imbalanced Fault Diagnosis

https://doi.org/10.2139/ssrn.5356007
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Outgoing claims: the papers this work cites, builds on, or argues with.

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Learning from imbalanced data: open challenges and future directions
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Interpreting network knowledge with attention mechanism for bearing fault diagnosis
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An improved ensemble fusion autoencoder model for fault diagnosis from imbalanced and incomplete data
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Denoising diffusion probabilistic model-enabled data augmentation method for intelligent machine fault diagnosis
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Intelligent fault diagnosis of machines with small & imbalanced data: A state-of-the-art review and possible extensions
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Federated transfer learning in fault diagnosis under data privacy with target self-adaptation
inferredcites →https://doi.org/10.1016/j.neucom.2019.06.100openalex-snapshot
Smote-variants: A python implementation of 85 minority oversampling techniques
inferredcites →https://doi.org/10.1088/1361-6501/ab55f8openalex-snapshot
Enhanced data-driven fault diagnosis for machines with small and unbalanced data based on variational auto-encoder
inferredcites →https://doi.org/10.1109/access.2021.3071796openalex-snapshot
A New Deep Stacked Architecture for Multi-Fault Machinery Identification With Imbalanced Samples
inferredcites →https://doi.org/10.1109/iccv51070.2023.00387openalex-snapshot
Scalable Diffusion Models with Transformers
inferredcites →https://doi.org/10.1109/tie.2019.2953010openalex-snapshot
A Polynomial Kernel Induced Distance Metric to Improve Deep Transfer Learning for Fault Diagnosis of Machines
inferredcites →https://doi.org/10.1109/tie.2021.3108719openalex-snapshot
A One-Class Generative Adversarial Detection Framework for Multifunctional Fault Diagnoses
inferredcites →https://doi.org/10.1109/tie.2022.3140403openalex-snapshot
Prior Knowledge-Augmented Self-Supervised Feature Learning for Few-Shot Intelligent Fault Diagnosis of Machines
inferredcites →https://doi.org/10.1109/tii.2018.2864759openalex-snapshot
Highly Accurate Machine Fault Diagnosis Using Deep Transfer Learning
inferredcites →https://doi.org/10.1109/tii.2021.3100284openalex-snapshot
Imbalanced Sample Selection With Deep Reinforcement Learning for Fault Diagnosis
inferredcites →https://doi.org/10.1109/tii.2024.3366991openalex-snapshot
A Novel Data Augmentation Method Based on Denoising Diffusion Probabilistic Model for Fault Diagnosis Under Imbalanced Data
inferredcites →https://doi.org/10.1109/tim.2021.3075751openalex-snapshot
A Two-Stage Learning Model for Track-Side Acoustic Bearing Fault Diagnosis
inferredcites →https://doi.org/10.1109/tim.2023.3246470openalex-snapshot
A Systematic Review on Imbalanced Learning Methods in Intelligent Fault Diagnosis
inferredcites →https://doi.org/10.1142/s1469026813400014openalex-snapshot
ONLINE CLASS IMBALANCE LEARNING AND ITS APPLICATIONS IN FAULT DETECTION
inferredcites →https://doi.org/10.1145/3422622openalex-snapshot
Generative adversarial networks
inferredcites →https://doi.org/10.1145/3510003.3510136openalex-snapshot
A universal data augmentation approach for fault localization
inferredcites →https://doi.org/10.1613/jair.1.11192openalex-snapshot
SMOTE for Learning from Imbalanced Data: Progress and Challenges, Marking the 15-year Anniversary
inferredcites →https://doi.org/10.1613/jair.953openalex-snapshot
SMOTE: Synthetic Minority Over-sampling Technique
inferredcites →https://doi.org/10.4230/lipics.itp.2023.19openalex-snapshot
Exploiting Generative AI to Scale up Intelligent Tutoring Systems
inferredcites →https://doi.org/10.48550/arxiv.1312.6114openalex-snapshot
Auto-Encoding Variational Bayes
inferredcites →https://doi.org/10.48550/arxiv.1411.1784openalex-snapshot
Conditional Generative Adversarial Nets
inferredcites →https://doi.org/10.48550/arxiv.2006.11239openalex-snapshot
Denoising Diffusion Probabilistic Models
inferredcites →https://doi.org/10.48550/arxiv.2010.11929openalex-snapshot
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
inferredcites →https://doi.org/10.48550/arxiv.2307.08702openalex-snapshot
Diffusion Models Beat GANs on Image Classification
inferredcites →https://doi.org/10.48550/arxiv.2312.02139openalex-snapshot
DiffiT: Diffusion Vision Transformers for Image Generation
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